Salesperson competitive intelligence and performance: The role of product knowledge and sales force automation usage

This research models and tests the relationship between a salesperson's product knowledge, competitive intelligence behaviors (SCIB), and performance. Moreover, the research examines how a salesperson's use of a sales force automation (SFA) system influences the knowledge–SCIB–performance relationship. Our model and empirical evidence suggest that a salesperson's product knowledge influences performance indirectly through SCIB, and that this indirect influence is moderated by salesperson SFA use. Results show that the indirect positive influence of salesperson product knowledge on salesperson performance through SCIB is attenuated as SFA use increases, and enhanced when SFA use decreases. Theoretical and managerial implications are presented, followed by a discussion of limitations and future research.     

Strategy type and performance: the influence of sales force management

The basic premise of the strategy implementation literature is that different business strategies require different configurations of organizational practices to achieve optimal performance. Sales force management is a key functional activity and should contribute to the successful implementation of business strategy. In this study, we examine the relationship between multiple sales force management practices and performance within each of Miles and Snow's (1978) strategy types. The explanatory power of the eight models tested is quite high (incremental adjusted R² ≥ 0.25 for six of the eight models). Thus, we find substantial support for the general proposition that the different strategy types require individualized profiles of sales force management practices for optimal effectiveness and that sales force management is important to the successful implementation of business strategy. Copyright © 2000 John Wiley & Sons, Ltd.     

The ABC's of ACB: Unveiling a clear and present danger in the sales force

While anti-citizenship behavior (ACB) is under-researched across all academic domains, sales and marketing researchers have not done any work in the area. This oversight is significant given recent survey data that suggests sales representatives are misbehaving at an alarming rate; 60% of sales managers have caught their reps cheating on expense reports (an example of ACB) and 36% believe such behavior has gotten worse over the past several years. Directed towards the goal of understanding salesperson ACB, this research provides the first conceptual model of ACB in the sales force. The model contends that characteristics of the organization (justice and intra-firm competition) and contextual factors (fit and job stress) directly affect the performance of ACB while individual level factors (locus of control, self-monitoring and introversion) moderate the performance of these behaviors. In addition, this research explains the intra- and inter-organizational consequences of salesperson ACB and suggests several ways by which managers can address this issue.     

The growing complexity of content delivery networks: Challenges and implications for the Internet ecosystem

Since the commercialization of the Internet, content and related applications, including video streaming, news, advertisements, and social interaction have moved online. It is broadly recognized that the rise of all of these different types of content (static and dynamic, and increasingly multimedia) has been one of the main forces behind the phenomenal growth of the Internet, and its emergence as essential infrastructure for how individuals across the globe gain access to the content sources they want. To accelerate the delivery of diverse content in the Internet and to provide commercial-grade performance for video delivery and the Web, Content Delivery Networks (CDNs) were introduced. This paper describes the current CDN ecosystem and the forces that have driven its evolution. We outline the different CDN architectures and consider their relative strengths and weaknesses. Our analysis highlights the role of location, the growing complexity of the CDN ecosystem, and their relationship to and implications for interconnection markets.     

The impact of mandatory trans fat labeling on product mix and consumer choice: A longitudinal analysis of the U.S. Market for margarine and spreads

The impact of changes in food labeling policy on food consumption depends on how market participants—both firms and consumers—react to the changes across all products in the market. We investigate how both responded to the U.S. Food and Drug Administration’s 2006 rule mandating that the quantity of trans fat in food products be separately labeled on the mandatory Nutrition Facts Panel across an entire differentiated product category. Using a longitudinal data set tracking both product offerings and consumer purchases in the market for margarine and spreads for over a decade, we analyze how product mix and consumer purchase behaviors were influenced by the new regulatory requirement. We find that the number of products bearing voluntary “trans fat free” labels increased after the labeling regulation was implemented. However, a large number of the newly introduced products exited the market within five years. As a result, the FDA’s 2006 rule had a stronger short-run than long-run effect on product offerings. Even after the introduction of additional “trans fat free” labeled products, such products remained only a small percentage of margarine and spreads product offerings, increasing from a pre-regulation level of 2.3% of the market to a peak of 6.5% in 2007 before dropping to 3.1% by 2011. In addition to firm response, we examine demand-side reactions to the 2006 rule and find that consumers significantly increased their expenditures on “trans fat free” labeled products soon after the labeling changes were implemented, increasing from about 1.2% of the market in 2001 to a peak of 5.9% in 2007, before returning to 1.8% in 2011. We further explore variations in responses across different demographic characteristics. Although long-run effects are small, the market for “trans fat free” labeled margarine and spreads settled into a new equilibrium with a somewhat higher level of products in the market than prior to the 2006 rule taking effect and a somewhat higher share of expenditures in the category. Overall, our category-wide analysis of both firm and consumer behavior indicates that the effects of the labeling policy change were smaller in the longer run in this market than would be indicated by an analysis of only new product introductions in response to the policy change.